๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

A joint economic-lot-size model for purchaser and vendor in fuzzy sense

โœ Scribed by G.C. Mahata; A. Goswami; D.K. Gupta

Publisher
Elsevier Science
Year
2005
Tongue
English
Weight
920 KB
Volume
50
Category
Article
ISSN
0898-1221

No coin nor oath required. For personal study only.

โœฆ Synopsis

This paper investigates a group of computing schemas for joint economic lot size as fuzzy values of the economic lot size model for purchaser and vendor. We express the fuzzy order quantity/production lot size for the purchaser/vendor as the normal triangular fuzzy number (ql, q0, q2) and then we solve the aforementioned optimization problem under the condition 0 < ql < q0 < q2. We find that, after defuzzification, the joint total relevant cost is slightly higher than in the crisp model. @

๐Ÿ“œ SIMILAR VOLUMES

A particle swarm optimization for solvin
A particle swarm optimization for solving joint pricing and lot-sizing problem with fluctuating demand and unit purchasing cost
โœ Chung-Yuan Dye; Tsu-Pang Hsieh ๐Ÿ“‚ Article ๐Ÿ“… 2010 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 602 KB

In this paper, we extend the classical economic order quantity model to allow for not only a function of price-dependent and time-varying demand but also fluctuating unit purchasing cost. The joint replenishment problem is subject to continuous decay and a general partial backlogging rate. The objec